| 基于性能仿真模型的燃驱压缩机组数据调和的方法及应用 |
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| 引用本文： | 上海交通大学 动力机械与工程教育部重点实验室,上海,中国石油西气东输管道公司压缩机处,上海.基于性能仿真模型的燃驱压缩机组数据调和的方法及应用[J].热能动力工程,2017,32(1):43-48. |
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| 作者姓名： | 上海交通大学 动力机械与工程教育部重点实验室 上海 中国石油西气东输管道公司压缩机处 上海 |
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| 作者单位： | 由于测量误差的存在，测量参数不能正确反映燃驱压缩机组的真实状态，而用数据调和方法来降低测量误差提高数据的准确度又常面临着缺少冗余度的问题。本文提出一种基于性能仿真模型的数据调和新方法，通过建立机组仿真模型，建立监测参数之间的相互关系，以增加系统的解析冗余度，结果表明其有提高数据准确度的作用；分析影响数据调和质量的各种因素，得出压气机出口温度、燃料量、动力涡轮和高压涡轮出口温度等因素对数据调和质量影响较大 |
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| 基金项目： | 上海市科委重大研究计划(09DZ1200702) |
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| 摘 要： | 由于测量误差的存在,测量参数不能正确反映燃驱压缩机组的真实状态,而用数据调和方法来降低测量误差提高数据的准确度又常面临着缺少冗余度的问题。本文提出一种基于性能仿真模型的数据调和新方法,通过建立机组仿真模型,建立监测参数之间的相互关系,以增加系统的解析冗余度,结果表明其有提高数据准确度的作用;分析影响数据调和质量的各种因素,得出压气机出口温度、燃料量、动力涡轮和高压涡轮出口温度等因素对数据调和质量影响较大。
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| 关 键 词： | 数据调和 燃驱压缩机组 数据冗余 |
Data Reconciliation Method and Application for Gas Turbine Driven Compressor Unit based on Performance Simulation Model |
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| The Key Laboratory of Power Machinery and Engineering of Education Ministry,Shanghai Jiao Tong University,Shanghai,Chin,Post Code: and Compressor Dept,PetroChina West to East Gas Pipeline Company,Shanghai,Chin,Post Code:.Data Reconciliation Method and Application for Gas Turbine Driven Compressor Unit based on Performance Simulation Model[J].Journal of Engineering for Thermal Energy and Power,2017,32(1):43-48. |
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| Authors: | The Key Laboratory of Power Machinery and Engineering of Education Ministry Shanghai Jiao Tong University Shanghai Chin Post Code: and Compressor Dept PetroChina West to East Gas Pipeline Company Shanghai Chin Post Code: |
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| Affiliation: | Due to measurement errors, measurement parameters cannot correctly reflect the true state of the gas turbine compressor unit. To enhance the accuracy via data reconciliation method is often challenged by the lack of redundancy. In this paper, a new data reconciliation method based on performance simulation model was proposed, and the relationship between monitoring parameters was established based on experimental data. The simulation results showed that this method can improve the accuracy of the data. Additionally, the factors affecting the data reconciliation quality were also analyzed in this paper. |
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| Abstract: | |
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| Keywords: | data reconciliation gas turbine data redundancy |
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